Research on a Novel Medical Image Non-rigid Registration Method Based on Improved SIFT Algorithm
In allusion to non-rigid registration of medical images, the paper gives a novel algorithm based on improved Scale Invariant Features Transform (SIFT) feature matching algorithm. First, Harris corner detection algorithm is used in the process of scale invariant feature extraction, so the number of right matching points is increased; with regard to the feature points detected in the scale space, an improved SIFT feature extraction algorithm with global context vector is presented to solve the problem that SIFT descriptors result in a lot of mismatches when an image has many similar regions. On this basis, affine transformation is chosen to implement the non-rigid registration, and weighted mutual information (WMI) measure and Particle Swarm Optimization (PSO) algorithm are also chosen to optimize the registration process. The experimental results show that the method can achieve better registration results than the method based on mutual information.
Non-rigid registration improved SIFT Harris comer detection global context vector WMI PSO
Anna Wang Dan Lv Zhe Wang Shiyao Li
College of Information Science and Engineering,Northeastern University, Shenyang, China
国际会议
无锡
英文
91-99
2010-09-17（万方平台首次上网日期，不代表论文的发表时间）